Manager of Data & Analytics Engineering in New York

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Job DescriptionJob DescriptionDescription:

Location: Flexible / Multi-Location
Travel: 10–20% as needed
Reports To: CIO

We are hiring a Manager, Data & Analytics Engineering to build and scale the data infrastructure that powers analytics and decision-making across a multi-location home services platform.

This is a hands-on technical leadership role responsible for integrating data across systems, building scalable data pipelines, and ensuring data is accurate, accessible, and structured for business use. You will partner closely with leadership to enable consistent reporting and drive revenue insights across operating companies.

Requirements:

Data Architecture & Engineering

• Design and maintain scalable data architecture across multiple business units
• Build and manage ETL/ELT pipelines across CRM, marketing, finance, and operations systems
• Develop and maintain centralized data warehouse solutions (Snowflake, Redshift, etc.)
• Structure datasets to support reporting, analytics, and business intelligence

Data Integration & Systems

• Integrate data across systems (Salesforce, NetSuite, marketing platforms, field systems)
• Develop unified data models to support cross-company reporting
• Automate data ingestion, transformation, and workflows
• Ensure reliable, consistent data flow across systems

Data Quality & Governance

• Establish and maintain data definitions and KPI logic
• Ensure data accuracy, consistency, and completeness
• Monitor data quality and resolve discrepancies
• Standardize reporting metrics across operating companies

Analytics Enablement

• Build and maintain data models to support BI tools (Sigma, Tableau, Power BI)
• Enable self-service analytics by improving data accessibility
• Partner with analytics and business leaders to support reporting needs

Automation & Scalability

• Automate data workflows using SQL and modern data tools
• Reduce manual reporting and data reconciliation
• Identify opportunities to improve efficiency and scalability

What Success Looks Like

• Scalable, reliable data models supporting revenue analytics
• Consistent KPI definitions across operating companies
• Reduced manual reporting and improved efficiency
• Timely, accurate data supporting business decisions

Qualifications

• 5–8+ years in data engineering, analytics engineering, or related roles
• Experience building data pipelines and integrating multiple data sources
• Experience in multi-location or multi-entity environments
• Bachelor’s degree in Computer Science, Engineering, Analytics, or related field (or equivalent experience)

Technical Skills

• Advanced SQL (required)
• Data modeling and data architecture
• ETL/ELT tools (Fivetran, Stitch, or similar)
• Data warehousing (Snowflake, Redshift, or similar)
• dbt (Data Build Tool)
• Cloud platforms (AWS )
• BI tools (Sigma, Tableau, Power BI)
• Python ()
• Version control (GitHub or similar)

Systems Experience

• Salesforce
• NetSuite
• Google Analytics (GA4), Google Ads

What We Are Looking For

• Strong technical builder who can design and scale data systems
• Detail-oriented with high standards for data accuracy
• Ability to translate business needs into technical solutions
• Comfortable in a fast-paced, growth-oriented environment
• Collaborative and able to partner across technical and business teams

Why Join Us

• High-impact role supporting revenue and business performance
• Opportunity to build and scale data infrastructure from the ground up
• Exposure to executive leadership and strategic initiatives
• Fast-growing, multi-entity platform environment

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.